Prenatal detection of congenital heart disease in southern Nevada: the need for universal fetal cardiac evaluation

Approaching Universal Prenatal Detection of Significant Cardiovascular Malformations in Nevada

OBJECTIVE

To report our recent experience with prenatal detection of significant cardiovascular malformations (CVMs) in Nevada's state-wide maternal population receiving prenatal care.

METHODS

We queried our databases for those with significant CVMs diagnosed pre- or postnatally between May 1, 2021, and April 30, 2024. We defined CVMs as those that required, would have required, or will likely require a therapeutic procedure in the first 12 months. Additionally, we included those with atrioventricular and ventriculoarterial discordance and left isomeric situs, both unaccompanied by additional CVMs, and congenital complete heart block. We defined routine prenatal care as obstetric care, which included at least one fetal anatomical survey ultrasound.

RESULTS

We identified 390 cases of significant CVMs. Of the 390 cases, 359 (92%) had prenatal care over the three-year observation period, with prenatal detection rates for the three 12-month intervals: 76% (87/115), 87% (94/108), and 95% (129/136) respectively (p < 0.001 by chi-square). A total of 310 prenatal diagnoses were made from comprehensive fetal echocardiograms performed on 8397 pregnant women at maternal-fetal-medicine centers.

CONCLUSION

To our knowledge, these results represent the highest prenatal detection rate for significant CVMs, in a state-wide maternal population in the United States.

Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection

INTRODUCTION

Congenital anomalies are the most encountered cause of fetal death, infant mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early detection of congenital anomalies facilitates life-saving treatments and stops the progression of disabilities. Congenital anomalies can be diagnosed prenatally through morphology scans. A correct interpretation of the morphology scan allows a detailed discussion with the parents regarding the prognosis. The central feature of this project is the development of a specialised intelligent system that uses two-dimensional ultrasound movies obtained during the standard second trimester morphology scan to identify congenital anomalies in fetuses.

METHODS AND ANALYSIS

The project focuses on three pillars: committee of deep learning and statistical learning algorithms, statistical analysis, and operational research through learning curves. The cross-sectional study is divided into a training phase where the system learns to detect congenital anomalies using fetal morphology ultrasound scan, and then it is tested on previously unseen scans. In the training phase, the intelligent system will learn to answer the following specific objectives: (a) the system will learn to guide the sonographer's probe for better acquisition; (b) the fetal planes will be automatically detected, measured and stored and (c) unusual findings will be signalled. During the testing phase, the system will automatically perform the above tasks on previously unseen videos.Pregnant patients in their second trimester admitted for their routine scan will be consecutively included in a 32-month study (4 May 2022-31 December 2024). The number of patients is 4000, enrolled by 10 doctors/sonographers. We will develop an intelligent system that uses multiple artificial intelligence algorithms that interact between themselves, in bulk or individual. For each anatomical part, there will be an algorithm in charge of detecting it, followed by another algorithm that will detect whether anomalies are present or not. The sonographers will validate the findings at each intermediate step.

ETHICS AND DISSEMINATION

All protocols and the informed consent form comply with the Health Ministry and professional society ethics guidelines. The University of Craiova Ethics Committee has approved this study protocol as well as the Romanian Ministry of Research Innovation and Digitization that funded this research. The study will be implemented and reported in line with the STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) statement.

TRIAL REGISTRATION NUMBER

The study is registered under the name 'Pattern recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical Learning', project number 101PCE/2022, project code PN-III-P4-PCE-2021-0057.

TRIAL REGISTRATION

ClinicalTrials.gov, unique identifying number NCT05738954, date of registration: 2 November 2023.

Isolated Balanced Complete Atrioventricular Septal Defects: Prenatal Detection and Outcome in Nevada

We analyzed patients with isolated, balanced complete atrioventricular septal defects. We identified 71 patients born in Nevada, between January 2008 and December 2020. We also analyzed prenatal detection rates. Of the 71, 61 (85%) had trisomy 21, 1 (1%) had CHARGE syndrome and 22q.11 deletion, and 10 (14%) had no chromosomal abnormalities. Of the 71, 67 had prenatal care, and 43/67 (64%) were prenatally diagnosed. Prenatal detection rate for 2008-2012 was 9/20 (45%) and 18/21 (86%) for 2018-2020, P = .03. Of the 71, 67 underwent surgical repair with 1 current postpulmonary artery banding and 0 surgical deaths. Of the 67, 3 (4%) had heart block. Only 1 (1.5%) patient had reoperation for a mitral valve replacement. Of the 71, 67 (94%) are alive during a 6-year average (range = 0-12 years) follow-up. In conclusion, surgical and long-term outcomes were excellent. Also, high state-wide, general population prenatal detection rates were achieved.

Use of artificial intelligence in obstetrics: not quite ready for prime time

Artificial intelligence is finding several applications in healthcare settings. This study aimed to report evidence on the effectiveness of artificial intelligence application in obstetrics. Through a narrative review of literature, we described artificial intelligence use in different obstetrical areas as follows: prenatal diagnosis, fetal heart monitoring, prediction and management of pregnancy-related complications (preeclampsia, preterm birth, gestational diabetes mellitus, and placenta accreta spectrum), and labor. Artificial intelligence seems to be a promising tool to help clinicians in daily clinical activity. The main advantages that emerged from this review are related to the reduction of inter- and intraoperator variability, time reduction of procedures, and improvement of overall diagnostic performance. However, nowadays, the diffusion of these systems in routine clinical practice raises several issues. Reported evidence is still very limited, and further studies are needed to confirm the clinical applicability of artificial intelligence. Moreover, better training of clinicians designed to use these systems should be ensured, and evidence-based guidelines regarding this topic should be produced to enhance the strengths of artificial systems and minimize their limits.

Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

BACKGROUND

Congenital Heart Disease represents the most frequent fetal malformation. The lack of prenatal identification of congenital heart defects can have adverse consequences for the neonate, while a correct prenatal diagnosis of specific cardiac anomalies improves neonatal care neurologic and surgery outcomes. Sonographers perform prenatal diagnosis manually during the first or second-trimester scan, but the reported detection rates are low. This project's primary objective is to develop an Intelligent Decision Support System that uses two-dimensional video files of cardiac sweeps obtained during the standard first-trimester fetal echocardiography (FE) to signal the presence/absence of previously learned key features.

METHODS

The cross-sectional study will be divided into a training part of the machine learning approaches and the testing phase on previously unseen frames and eventually on actual video scans. Pregnant women in their 12-13 + 6 weeks of gestation admitted for routine first-trimester anomaly scan will be consecutively included in a two-year study, depending on the availability of the experienced sonographers in early fetal cardiac imaging involved in this research. The Data Science / IT department (DSIT) will process the key planes identified by the sonographers in the two- dimensional heart cine loop sweeps: four-chamber view, left and right ventricular outflow tracts, three vessels, and trachea view. The frames will be grouped into the classes representing the plane views, and then different state-of-the- art deep-learning (DL) pre-trained algorithms will be tested on the data set. The sonographers will validate all the intermediary findings at the frame level and the meaningfulness of the video labeling.

DISCUSSION

FE is feasible and efficient during the first trimester. Still, the continuous training process is impaired by the lack of specialists or their limited availability. Therefore, in our study design, the sonographer benefits from a second opinion provided by the developed software, which may be very helpful, especially if a more experienced colleague is unavailable. In addition, the software may be implemented on the ultrasound device so that the process could take place during the live examination.

TRIAL REGISTRATION

The study is registered under the name "Learning deep architectures for the Interpretation of Fetal Echocardiography (LIFE)", project number 408PED/2020, project code PN-III-P2-2.1-PED-2019.

TRIAL REGISTRATION

ClinicalTrials.gov , unique identifying number NCT05090306, date of registration 30.10.2020.

Improvement of diagnostic efficiency in fetal congenital heart disease using fetal intelligent navigation echocardiography by less-experienced operators

OBJECTIVE

This study investigated the feasibility and accuracy of fetal intelligent navigation echocardiography (FINE) for the prenatal diagnosis of congenital heart disease (CHD) by inexperienced and experienced operators.

METHOD

In this prospective study, all volume data sets from 120 fetuses with a broad spectrum of CHD were acquired using spatiotemporal image correlation technology. The prenatal diagnostic procedures were performed by two operators with different experience (beginner: 1 year and expert: 15 years) using FINE and traditional fetal echocardiography. Data were analyzed on the time of examination and acquisition of results.

RESULTS

Diagnoses made by FINE and traditional echocardiography were completely consistent with the final diagnosis of CHD in 98 (81.66%) versus 20 (16.66%) (P < 0.001) beginners and 87.50% (n = 105) versus 101 (84.16%) experts, respectively. On the contrary, there was significant difference using traditional echocardiography (16.66% versus 84.16%, P < 0.001) by two examiners. Furthermore, the examination time decreased when using FINE compared with using traditional echocardiography (beginner operators: 4.54 ± 1.03 min versus 20.58 ± 3.36 min, P < 0.001; expert operators: 3.89 ± 0.96 min versus 12.73 ± 1.62 min, P < 0.001).

CONCLUSION

Based on our results, a prenatal diagnosis of CHD can be made with high feasibility and accuracy using FINE compared with traditional fetal echocardiography for beginner operators.

Isolated Vascular Rings Are Common Cardiovascular Malformations

OBJECTIVE

We investigated the prevalence of isolated vascular rings in the general population of Southern Nevada.

METHODS

We identified those prenatally and postnatally diagnosed with an isolated vascular ring between January 2014 and December 2021. We included only those with vascular or ligamentous structures completely encircling the trachea and esophagus. To investigate the prevalence of isolated vascular rings, we included only those with situs solitus, levocardia, and no significant intracardiac malformations.

RESULTS

We identified 112 patients. Of the 112, 66 (59%) were female. There were approximately 211,000 total live births in Southern Nevada for the study period, for an overall prevalence of 5.3 isolated vascular rings per 10 000 live births. However, for the years 2014 to 2017, the average prevalence figure was 3.5 per 10 000 live births, and for the years 2018 to 2021, the average prevalence figure was 7.1 (range 6.5-8.0) per 10 000 live births. Simultaneously, the prenatal detection rate rose from 66% to 86%.

CONCLUSIONS

Isolated vascular rings are common cardiovascular malformations. As prenatal detection rates in the Southern Nevada general population approach 90%, the prevalence figures for isolated vascular rings appear to asymptote at about 7 per 10 000 live births.

Decreasing Mortality for STAT 4 and 5 Neonatal Heart Surgeries Concurrent With Improving Prenatal Detection: The Nevada Experience

Objective: Our objective was to investigate whether a relationship existed between our center's STAT 4 and 5 category surgical mortality and general-population prenatal detection rates in Nevada. Methods: We identified patients who underwent STAT 4 and 5 neonatal index cardiovascular surgeries at our center between October 2012 and September 2021. Additionally, we calculated prenatal detection rates for each of the 9 retrospective study years. We used descriptive statistics and nonparametric testing, including the Spearman Rho correlation (R) and the Mann-Whitney U-tests, with a significant P-value set at < .05. Results: We identified 356 patients. We noted a statistically significant increasing trend in prenatal detection percentages (rho = 0.79, P = .01), concurrent with a statistically significant decreasing trend in surgical mortality (rho = -0.82, P = .007). Conclusions: Despite encouraging results, we could not establish a cause-and-effect relationship between concurrent decreased surgical mortality and increased prenatal detection rates for patients undergoing STAT 4 and 5 surgical procedures at our center.

Prenatal diagnosis of significant congenital heart disease and elective termination of pregnancy in Nevada

OBJECTIVE

We investigated the relationship between prenatal detection of significant congenital heart disease and elective termination of pregnancy over time in Nevada.

METHODS

We identified those prenatally or post-natally diagnosed with significant congenital cardiovascular malformations in Nevada with birth dates or estimated delivery dates between July 2012 and June 2021.

RESULTS

We identified 1246. Of 1246, 69 underwent fetal demise, 42 had elective termination, and 1135 were live-born. Of the 1135 live-born, 1090 had prenatal care, of which 718 (66%) overall had a prenatal diagnosis of significant congenital heart disease. However, prenatal detection statistically significantly increased over time from 45 to 82%, p = .00001. Termination of pregnancy averaged 10% of those identified within the legal timeframe, and the rate did not statistically significantly increase with increasing prenatal detection rates, p = .56. Of the 42 undergoing elective termination, 23 (55%) had syndromes or comorbidities vs. 280 (25%) of the 1135 live-births, p = .0003.

CONCLUSIONS

In Nevada, despite a statistically significant increase in prenatal detection of significant congenital heart disease over time, termination of pregnancy rates did not increase. Nevertheless, those undergoing elective termination were more likely to have associated syndromes or comorbidities.

Prenatal diagnosis of isolated perimembranous ventricular septal defects undergoing primary surgical repair in infancy

OBJECTIVE

We retrospectively analyzed our center's experience with the prenatal diagnosis of isolated perimembranous ventricular septal defects that underwent primary surgical repair in infancy.

METHODS

We identified patients born in Southern Nevada, between October 2012 and October 2020, with prenatal care that underwent surgical closure of an isolated large perimembranous ventricular septal defect between 1 and 12 months of age. The description at surgery defined ventricular septal defect morphology. We included only those with situs solitus, levocardia without dextroposition, and without any other cardiovascular abnormality. We analyzed prenatal detection rates for each of the eight years.

RESULTS

We identified 81 patients. Of the 81, 35 (43%) had trisomy 21. We identified no other aneuploidies in those that underwent surgical repair; however, 1 had a 15q13.3 deletion syndrome, and 1 had a 22 q11.2 deletion syndrome. Of the 81, 27 (33%) overall were prenatally diagnosed. Increasing prenatal detection rates strongly correlated with time (R = 0.92, p = .002).

CONCLUSIONS

Trisomy 21 is common in isolated perimembranous ventricular septal defects undergoing primary repair in infancy. Further, prenatal detection rates significantly improved over time, up to 65% detection in the current years.

Impact of Socioeconomic Status, Race and Ethnicity, and Geography on Prenatal Detection of Hypoplastic Left Heart Syndrome and Transposition of the Great Arteries

BACKGROUND

Prenatal detection (PND) has benefits for infants with hypoplastic left heart syndrome (HLHS) and transposition of the great arteries (TGA), but associations between sociodemographic and geographic factors with PND have not been sufficiently explored. This study evaluated whether socioeconomic quartile (SEQ), public insurance, race and ethnicity, rural residence, and distance of residence (distance and driving time from a cardiac surgical center) are associated with the PND or timing of PND, with a secondary aim to analyze differences between the United States and Canada.

METHODS

In this retrospective cohort study, fetuses and infants <2 months of age with HLHS or TGA admitted between 2012 and 2016 to participating Fetal Heart Society Research Collaborative institutions in the United States and Canada were included. SEQ, rural residence, and distance of residence were derived using maternal census tract from the maternal address at first visit. Subjects were assigned a SEQ z score using the neighborhood summary score or Canadian Chan index and separated into quartiles. Insurance type and self-reported race and ethnicity were obtained from medical charts. We evaluated associations among SEQ, insurance type, race and ethnicity, rural residence, and distance of residence with PND of HLHS and TGA (aggregate and individually) using bivariate analysis with adjusted associations for confounding variables and cluster analysis for centers.

RESULTS

Data on 1862 subjects (HLHS: n=1171, 92% PND; TGA: n=691, 58% PND) were submitted by 21 centers (19 in the United States). In the United States, lower SEQ was associated with lower PND in HLHS and TGA, with the strongest association in the lower SEQ of pregnancies with fetal TGA (quartile 1, 0.78 [95% CI, 0.64-0.85], quartile 2, 0.77 [95% CI, 0.64-0.93], quartile 3, 0.83 [95% CI, 0.69-1.00], quartile 4, reference). Hispanic ethnicity (relative risk, 0.85 [95% CI, 0.72-0.99]) and rural residence (relative risk, 0.78 [95% CI, 0.64-0.95]) were also associated with lower PND in TGA. Lower SEQ was associated with later PND overall; in the United States, rural residence and public insurance were also associated with later PND.

CONCLUSIONS

We demonstrate that lower SEQ, Hispanic ethnicity, and rural residence are associated with decreased PND for TGA, with lower SEQ also being associated with decreased PND for HLHS. Future work to increase PND should be considered in these specific populations.

Reliability of Sonography-based Volume Computer Aided Diagnosis in the Normal Fetal Heart

OBJECTIVES

To explore the inter- and intra-observer reliability of Sonography-based Volume Computer Aided Diagnosis (SonoVCAD) in the display of 8 diagnostic planes of fetal echocardiography and to evaluate its efficiency.

METHODS

Three-dimensional volume data sets of the 56 normal singleton fetuses were acquired from a 4-chamber view by using a volume probe. After processing the data sets by using SonoVCAD, 8 cardiac diagnostic planes were displayed automatically. Three doctors with different experiences of performing fetal echocardiography evaluated each diagnostic plane and the success rates of 8 diagnostic planes were calculated. Inter-observer and intra-observer reliabilities were estimated by Cohen's kappa statistics.

RESULTS

A total of 276 volume data sets acquired from the 56 normal fetuses were used for SonoVCAD analysis and display. The success rate of each diagnostic section was more than 90%, ranging from 90.6% to 99.6%. Among 276 volumes, 81.5% (225/276) of volumes were able to generate all 8 diagnostic views successfully. Moderate to substantial agreement (kappa, 0.509-0.794) was found between 2 less experienced operators. Moderate to near-perfect agreement (kappa, 0.439-0.933) was found between an expert and 2 less experienced sonographers. Intra-observer reliability was substantial to near-perfect (kappa, 0.602-0.903). The efficiency of SonoVCAD was assessed. The expert spent less time than 2 less experienced examiners (P < 0.001) but no significant difference was found between 2 less experienced examiners (P = 0.176). Besides, SonoVCAD consumed significantly less time than 2-dimensional ultrasound (P < 0.001).

CONCLUSIONS

SonoVCAD can significantly improve the success rates of 8 diagnostic planes in fetal echocardiography with low operator dependency, good reproducibility and high efficiency.

The significance of an integrated management mode of prenatal diagnosis-postnatal treatment for critical congenital heart disease in newborns

Background

Congenital heart disease (CHD) is the most common congenital defect in human beings. The purpose of this article is to investigate impact of an integrated management mode of 'prenatal diagnosis-postnatal treatment' on birth, surgery, prognosis and complications associated with critical CHD (CCHD) in newborns.

Methods

A retrospective analysis of the medical records of newborns diagnosed with CCHD were divided into two groups: prenatal diagnosis and postnatal diagnosis. The demographics, clinical characteristics, surgical status, prognosis and complications of the two groups were compared and the differences identified.

Results

Among the 290 newborns with CCHD, 97 (33.4%) were prenatally diagnosed and 193 (66.6%) were postnatally diagnosed. Newborns in the prenatal diagnostic group were hospitalized immediately after birth, whereas the median age of admission was 6.00 (3.00-12.00) days in postnatal diagnostic group, P=0.000. In terms of postnatal symptoms and signs, the incidence of anhelation, cyanosis and cardiac murmur was higher in the postnatal diagnostic group. The rates of preoperative intubation, postoperative open chest exploration and treatment abandonment were higher in the postnatal diagnostic group. The postnatal diagnostic group was more prone to postoperative complications, such as pneumonia and hypoxic-ischemic brain damage. The preoperative mortality [0 (0.0%) vs. 12 (6.2%), P=0.028] in the prenatal diagnostic group was lower than that in the postnatal diagnostic group. And the one-year survival rate of the prenatal diagnostic group was higher (log-rank test P=0.034).

Conclusions

The integrated management mode of prenatal diagnosis-postnatal treatment can improve postnatal symptoms, reduces complications, reduces preoperative mortality and increases one-year survival rates in newborns with CCHD.

Isolated vascular rings in the era of high prenatal detection rates: Demographics, diagnosis, risk factors, and outcome

OBJECTIVE

We reviewed our center's isolated vascular ring data.

METHODS

Inclusion criteria were patients born in Nevada between June 2015 and July 2020 with situs solitus, levocardia, atrioventricular and ventriculoarterial concordance, and no significant intracardiac malformations.

RESULTS

We identified 95 patients. Of the 95, 56 (59%) were female (p = .033). For the study period, there were approximately 180,000 live births, for a prevalence of 5.3 isolated vascular rings per 10,000 live births. Of the 95, 78 (82%) were prenatally diagnosed. Of the 95, 63 (66%) were products of high-risk pregnancies (p = .0001). Additionally, we found advanced maternal age was an isolated vascular ring risk factor (relative risk ratio, 2.7; 95% confidence interval, 1.8, 4.1; p < .00001).

CONCLUSIONS

Isolated vascular rings are relatively common cardiovascular malformations and more common in females. High prenatal detection rates are achievable. Further, the majority with isolated vascular rings are products of high-risk pregnancies, and advanced maternal age is a statistically significant occurrence risk factor.

A preliminary study on the prenatal diagnosis of fetal conotruncal defects using intelligent navigation echocardiography

OBJECTIVE

To compare the accuracy, efficiency, and consistency between experienced and less-experienced professionals using intelligent navigation echocardiography.

METHODS

In this prospective study, we enrolled 93 second- and third-trimester fetuses with conotruncal defects (CTD) from July 2017 to February 2018. One or more spatiotemporal image correlation volume data sets were collected per case. The fetuses with CTD were diagnosed by the following two groups of professionals (n = 20 in each) with different experience levels using intelligent navigation echocardiography and two-dimensional ultrasound: group A with 15 years of experience and group B with 1 year of experience. The diagnostic consistency and accuracy of the technologies between the two groups were analyzed.

RESULTS

Satisfactory consistency was noted in the two groups (group A, τ = 0.855, P < 0.05, and group B, τ = 0.821, P < 0.05), and no significant difference in accuracy (χ²  = 3.218, P > 0.05) in using intelligent navigation echocardiography was reported between the two groups. However, there a significant difference in accuracy (χ²  = 0.021, P < 0.05) when using two-dimensional ultrasound was observed between the two groups.

CONCLUSION

Intelligent navigation echocardiography was found to be efficient and accurate for the diagnosis of CTD and good consistency existed in the experienced and less-experienced professionals.

Feasibility of Semiautomatic Fetal Intelligent Navigation Echocardiography for Different Fetal Spine Positions: A Matter of "Time"?

OBJECTIVES

We investigated the feasibility of a semiautomatic approach for assessments of the fetal heart (fetal intelligent navigation echocardiography [FINE]) in cases of optimal and unfavorable fetal spine positions.

METHODS

In this study, a total of 1693 spatiotemporal image correlation volumes of first-, second-, and third-trimester fetuses were evaluated by experts using the FINE approach. The data were analyzed regarding proper reconstruction of the diagnostic cardiac planes depending on the fetal spine position.

RESULTS

A total of 1531 volumes were included. The volumes were divided into 4 groups depending on the fetal spine position: 5-7 o'clock, 4 + 8 o'clock, 3 + 9 o'clock, and 2 + 10 o'clock. In total, 93.2% of the diagnostic planes were displayed properly. Between 5 and 7 o'clock, 94.9% of the diagnostic planes were displayed properly. The correct depiction rates in the other groups were 92.4% (4 + 8 o'clock; n = 538; P = 0.0027), 88.3% (3 + 9 o'clock; n = 156; P < .0001), and 87.3% (2 + 10 o'clock; n = 41; P = .0139). In total, the highest dropout rates were found in the sagittal planes: ductal arch, 13.9%; aortic arch, 10.5%; and venae cavae, 12.0%.

CONCLUSIONS

Based on our results, the FINE technique is an effective method, but its feasibility depends on the fetal position. The use of this semiautomatic work flow-based approach supports evaluation of the fetal heart in a standardized manner. Semiautomatic evaluation of the fetal heart might be useful in facilitating the detection of fetal cardiac anomalies.

Is a Fetal Echocardiography Necessary in IVF-ICSI Pregnancies After Anatomic Survey?

PURPOSE

In vitro fertilization with intracytoplasmic sperm injection (IVF-ICSI) is generally regarded as an indication for fetal echocardiography due to a reported increased risk of congenital abnormalities including cardiac anomalies. In this study we evaluated the utility of fetal echocardiography after anatomic survey in an experienced center.

METHODS

This was a retrospective case review of in vitro fertilization with intracytoplasmic sperm injection pregnancies who had echocardiography in our institution from January 1996 to October 2010.

RESULTS

Records from 85 mothers and 110 fetuses were identified. During anatomic survey, six cardiac anomalies were identified, including four ventricular septal defects, one pulmonary-aortic disproportion, and one post-valvular pulmonary artery dilatation. At fetal echocardiography, two of the four ventricular septal defects were confirmed and an additional three were identified. The most common cardiac anomaly seen in our population of IVF-ICSI pregnancies was ventricular septal defect, which was identified in 3.6% of all cases in the neonatal period. Of ventricular septal defects identified in the prenatal period, 71% resolved before birth.

CONCLUSION

In experienced centers, a fetal echocardiography may not be necessary if the 3 vessels tracheal view of the heart is evaluated and the heart is evaluated carefully for a ventricular septal defect.

Why are congenital heart defects being missed?

OBJECTIVE

Congenital heart defects (CHD) are still missed frequently in prenatal screening programs, which can result in severe morbidity or even death. The aim of this study was to evaluate the quality of fetal heart images, obtained during the second-trimester standard anomaly scan (SAS) in cases of CHD, to explore factors associated with a missed prenatal diagnosis.

METHODS

In this case-control study, all cases of a fetus born with isolated severe CHD in the Northwestern region of The Netherlands, between 2015 and 2016, were extracted from the PRECOR registry. Severe CHD was defined as need for surgical repair in the first year postpartum. Each cardiac view (four-chamber view (4CV), three-vessel (3V) view and left and right ventricular outflow tract (LVOT, RVOT) views) obtained during the SAS was scored for technical correctness on a scale of 0 to 5 by two fetal echocardiography experts, blinded to the diagnosis of CHD and whether it was detected prenatally. Quality parameters of the cardiac examination were compared between cases in which CHD was detected and those in which it was missed on the SAS. Regression analysis was used to assess the association of sonographer experience and of screening-center experience with the cardiac examination quality score.

RESULTS

A total of 114 cases of isolated severe CHD at birth were analyzed, of which 58 (50.9%) were missed and 56 (49.1%) were detected on the SAS. The defects comprised transposition of the great arteries (17%), aortic coarctation (16%), tetralogy of Fallot (10%), atrioventricular septal defect (6%), aortic valve stenosis (5%), ventricular septal defect (18%) and other defects (28%). No differences were found in fetal position, obstetric history, maternal age or body mass index (BMI) or gestational age at examination between missed and detected cases. Ninety-two cases had available cardiac images from the SAS. Compared with the detected group, the missed group had significantly lower cardiac examination quality scores (adequate score (≥ 12) in 32% vs 64%; P = 0.002), rate of proper use of magnification (58% vs 84%; P = 0.01) and quality scores for each individual cardiac plane (4CV (2.7 vs 3.9; P < 0.001), 3V view (3.0 vs 3.8; P = 0.02), LVOT view (1.9 vs 3.3; P < 0.001) and RVOT view (1.9 vs 3.3; P < 0.001)). In 49% of missed cases, the lack of detection was due to poor adaptational skills resulting in inadequate images in which the CHD was not clearly visible; in 31%, the images showed an abnormality (mainly septal defects and aortic arch anomalies) which had not been recognized at the time of the scan; and, in 20%, the cardiac planes had been obtained properly but showed normal anatomy. Multivariate regression analysis showed that the volume of SAS performed per year by each sonographer was associated significantly with quality score of the cardiac examination.

CONCLUSIONS

A lack of adaptational skills when performing the SAS, as opposed to circumstantial factors such as BMI or fetal position, appears to play an important role in failure to detect CHD prenatally. The quality of the cardiac views was inadequate significantly more often in undetected compared with detected cases. Despite adequate quality of the images, CHD was not recognized in 31% of cases. A high volume of SAS performed by each sonographer in a large ultrasound center contributes significantly to prenatal detection. In 20% of undetected cases, CHD was not visible even though the quality of the images was good. © 2019 Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Is Fetal Intelligent Navigation Echocardiography Helpful in Screening for d-Transposition of the Great Arteries?

OBJECTIVES

To evaluate the performance of fetal intelligent navigation echocardiography (FINE) applied to spatiotemporal image correlation (STIC) volumes in generating 3 specific abnormal cardiac views (left ventricular outflow tract, right ventricular outflow tract, and 3-vessel and trachea) used to screen for d-transposition of the great arteries (d-TGA).

METHODS

In this prospective study, 1 or more STIC volumes were obtained from the 4-chamber view in 34 second- and third-trimester fetuses with d-TGA. Each appropriate STIC volume was evaluated by STICLoop (Samsung Medison, Seoul, Korea) before applying the FINE method. One optimal volume per fetus was selected by observers. The visualization rates of the 3 specific abnormal cardiac views of d-TGA and their diagnostic elements were calculated, and the reliability between 2 observers was verified by the intraclass correlation coefficient.

RESULTS

Fetal intelligent navigation echocardiography applied to STIC volume data sets of fetuses with d-TGA successfully generated the 3 specific abnormal cardiac views in the following manner for 2 observers: 75.0% (n = 21) for the left ventricular outflow tract, 89.2% (n = 25) for the right ventricular outflow tract, and 85.7% (n = 24) for the 3-vessel and trachea view. Twenty-four (85.7%) of the STIC volume data sets showed 2 or 3 of the abnormal cardiac views. The interobserver intraclass correlation coefficients between the 2 observers ranged from 0.842 to 1.000 (95% confidence interval), indicating almost perfect reliability for the 2 observers.

CONCLUSIONS

In cases of d-TGA, the FINE method has a high success rate in generating 3 specific abnormal cardiac views and therefore can be performed to screen for this congenital defect.

Semiautomatic Fetal Intelligent Navigation Echocardiography Has the Potential to Aid Cardiac Evaluations Even in Less Experienced Hands

OBJECTIVES

To investigate the interobserver and intraobserver variability and corresponding learning curve in a semiautomatic approach for a standardized assessment of the fetal heart (fetal intelligent navigation echocardiography [FINE]).

METHODS

A total of 30 stored spatiotemporal image correlation volume data sets of second-trimester fetuses were evaluated by 3 physicians with different levels of expertise in fetal echocardiography by using the FINE approach. Data were analyzed regarding the examination time and proper reconstruction of the diagnostic cardiac planes. The completions and numbers of correct depictions of all diagnostic planes were evaluated by a blinded expert (time t0). To determine interobserver and intraobserver variability, the volumes were reassessed after a 4-week training interval (time t1).

RESULTS

All operators were able to perform the investigation on all 30 volumes. At t0, the interobserver variability between the beginner and both the advanced (P = .0013) and expert (P < .0001) examiners was high. Focusing on intraobserver variability at t1, the beginner showed a marked improvement (P = .0087), whereas in advanced and expert hands, no further improvement regarding proper achievement of all diagnostic planes could be noticed (P > .999; P = .8383). The beginner also showed improvement in the mean investigation time (t0, 82.8 seconds; t1, 73.4 seconds; P = .0895); nevertheless, the advanced and expert examiners were faster in completing the examination (t1, advanced, 20.9 seconds; expert, 28.3 seconds; each P < .0001).

CONCLUSIONS

Based on our results, the FINE technique is a reliable and easily learned method. The use of this semiautomatic work flow-based approach supports evaluation of the fetal heart in a standardized and time-saving manner. A semiautomatic evaluation of the fetal heart might be useful in facilitating the detection of fetal cardiac anomalies.

Detecting Critical Congenital Heart Disease in Nevada

Background:

We reviewed data on patients born with critical congenital heart disease in the state of Nevada and analyzed detection via prenatal diagnosis versus newborn pulse oximetry screening, location of birth, and gestational age at birth.

Methods:

We inquired our databases and electronic health records for all patients with critical congenital heart disease born in Nevada between January 2016 and May 2019.

Results:

We identified 218 live born patients. Of the 218, average gestational age was 38 weeks (±2.2 weeks). Of the 218, 171 (78%) were prenatally diagnosed, 37 (17%) were diagnosed by immediate postnatal signs and symptoms, 8 (4%) had false-negative pulse oximetry screens that resulted in post-hospital discharge presentations, and 2 (1%) had positive pulse oximetry screens. The eight post-hospital discharge presentations included four in extremis, two with extreme cyanosis, and two dying at home. Of the 171 prenatally diagnosed patients, 157 (92%) were born at the Nevada hospital with the congenital cardiac unit.

Conclusion:

To the best of our knowledge, our results represent the highest statewide, general population prenatal detection of critical congenital heart disease in the United States. Our high prenatal detection rate led to the majority of patients being born at the Nevada facility with the congenital heart unit, limiting intrastate neonatal transports. On average, patients were born at term. Further, in Nevada, state-mandated, universal pulse oximetry screening resulted in more false-negative results than positive results

The added value of screening fetal echocardiography after normal cardiac views on a detailed ultrasound

OBJECTIVE

Evaluate fetal echocardiography's ability to detect critical (lesions requiring immediate neonatal intensive care) congenital heart disease (CHD) after normal anatomic cardiac views on detailed ultrasound.

METHODS

Singletons with both a detailed ultrasound at 18 + 0 to 22 + 6 weeks and echocardiogram performed at least 14 days later and at 20 + 0 to 24 + 6 weeks. Cases with cardiac pathology on detailed ultrasound were excluded. Different combinations of cardiac views were described: Basic (four-chamber, outflow tracts), Expanded (plus three-vessel view), and Complete (plus ductal/aortic arches). "Normal" was defined on either 2D gray scale or color Doppler. Primary outcome was rates of critical CHD missed on ultrasound but seen on fetal echocardiogram.

RESULTS

One thousand two hundred twenty-three women had normal Basic cardiac views. One thousand one hundred ninety (97.3%) were confirmed normal on echocardiogram. Twenty-one (1.71%) total CHDs were missed, and three were critical (0.25%; 95% CI, 0.03%-0.53%). Of the 1,223 women, 763 had Complete views. Ten (1.31%) total CHDs were missed and one (0.13%; 95% CI, 0.13%-0.36%) was confirmed critical.

CONCLUSION

Fetal echocardiography can increase CHD detection despite normal cardiac anatomy on detailed ultrasound; however, CHDs missed are rarely critical. Approximately 750 fetal echocardiograms need to be performed to detect one critical CHD with Complete normal cardiac views on detailed ultrasound.

Barriers to Sonographer Screening for Fetal Heart Defects: A U.S. National Survey

OBJECTIVE

We surveyed obstetric sonographers, who are at the forefront of the screening process to determine how barriers to prenatal cardiac screening impacted screening abilities.

METHODS

We performed a cross-sectional national survey of obstetric sonographers in the United States using a sampling frame from American Registry of Diagnostic Medical Sonography mailing lists. The web survey measured the ability to obtain and interpret fetal heart images. Several cognitive, sociodemographic, and system-level factors were measured, including intention to perform cardiac imaging. Regression and mediation analyses determined factors associated with intention to perform and ability to obtain and interpret cardiac images. Subgroup analyses of sonographers in tertiary versus nontertiary centers were also performed.

RESULTS

Survey response rate either due to noncontact or nonresponse was 40%. Of 480 eligible sonographers, ~30% practiced in tertiary settings. Sonographers had lower intention to perform outflow views compared to 4 chambers. Higher self-efficacy and professional expectations predicted higher odds of intention to perform outflow views (OR 2.8, 95% CI 1.9-4.2 and 1.9, 95% CI 1.1-3.0, respectively). Overall accuracy of image interpretation was 65% (±14%). For the overall cohort and nontertiary subgroup, higher intention to perform outflows was associated with increased accuracy in overall image interpretation. For the tertiary subgroup, self-efficacy and feedback were strongly associated with accuracy.

CONCLUSIONS

We identified several modifiable (some heretofore unrecognized) targets to improve prenatal cardiac screening. Priorities identified by sonographers that are associated with screening success should guide future interventions.

Smart-planes fetal heart (S-planes FH) software to quantitative evaluate the fetal great arteries

OBJECTIVES

To explore the feasibility of applying smart-planes fetal heart (S-Planes FH) to 3D volumes to generate and display the outflow tract views (OFTVs) and evaluate its agreement and reliability in determining fetal vessel dimensions.

METHODS

A total of 147 normal fetuses in the second or third trimester were enrolled. Once conventional 2D sonographic examination was finished, one or more 3D static volumes were then acquired in the 4-chamber view (4CV). The OFTVs automatically generated and displayed via a simple offline operation using S-Planes FH software. Per fetus, a single qualified S-Planes FH image was selected by an expert. The inner diameters of the aorta (AO) and pulmonary artery (PA) were measured in 2D and S-Planes FH images, respectively. The agreement and reliability of the two methods were verified by the Bland-Altman method and the intraclass correlation coefficient (ICC), respectively.

RESULTS

A total of 515 3D static volumes were successfully acquired in 147 fetuses. The OFTVs were generated and displayed using S-Planes FH in 138 (93.9%) cases. S-Planes FH had good agreement in measuring the diameters of great arteries (95% CI of limits, -0.9419 to 1.1464 for AO diameter, -0.8871 to 1.7007 for PA diameter). The intraobserver and interobserver ICCs in this study were greater than 0.81, indicating almost perfect reliability of the two methods with regard to observers.

CONCLUSIONS

S-Planes FH software is a feasible method for generating OFTVs as well as determining vessel dimensions in the second and third trimesters and had good agreement with 2D examination. Therefore, it possesses clinical value in screening for CHD and can be operated by different sonographers.

The first Fetal Echocardiography experience for Prenatal diagnosis of Congenital Heart Disease in Lebanon: Successes and challenges

Objectives

To describe the first Lebanese fetal echocardiography experience for prenatal diagnosis of congenital heart diseases (CHD), showcase successes, and hurdles.

Methods

This was a retrospective study from January 2014 to December 2017. A total of 350 fetal echocardiograms for 299 fetuses were performed at the Children’s Heart Center at the American University of Beirut, the only fetal center in Lebanon. Data were collected regarding diagnosis, reasons for referral, and timing of referral.

Results

The mean gestational age at presentation was 25.3 weeks (standard deviation 4.9 weeks). The primary reasons for referral were abnormal anomaly scan (81 27%), history of previous child with CHD (48 16%), and pre-existing maternal congenital heart disease (15 5%). A total of 144 fetal echocardiograms were normal and 155 patients were diagnosed prenatally with CHD giving a detection rate of 44%. The most identified cardiac lesions were ventricular septal defects (31, 20%), atrial septal defects (15, 9.7%). Significant CHD defined as major abnormalities which would impact pregnancy and future quality of life of the baby were identified in 78 fetuses, with a detection rate of 22%.

Conclusion

High rates of detection are mainly due to low rates of referral when indicated and possibly parental anxiety regarding CHD diagnosis.

Emerging trends in the prenatal diagnosis of complex CHD and its influence on infant mortality in this cohort

BACKGROUND

Fetal echocardiography is the main modality of prenatal diagnosis of CHD. This study was done to describe the trends and benefits associated with prenatal diagnosis of complex CHD at a tertiary care centre.

METHODS

Retrospective chart review of patients with complex CHD over an 18-year period was performed. Rates of prenatal detection along with early and late infant mortality outcomes were studied.

RESULTS

Of 381 complex CHD patients born during the study period, 68.8% were diagnosed prenatally. Prenatal detection rate increased during the study period from low-50s in the first quarter to mid-80s in the last quarter (p=0.001). Rate of detection of conotruncal anomalies increased over the study period. No infant mortality benefit was noted with prenatal detection.

CONCLUSIONS

Improved obstetrical screening indications and techniques have contributed to higher proportions of prenatal diagnosis of complex CHD. However, prenatal diagnosis did not confer survival benefits in infancy in our study.

Fetal Intelligent Navigation Echocardiography (FINE) Detects 98% of Congenital Heart Disease

OBJECTIVE

Fetal intelligent navigation echocardiography (FINE) is a novel method that automatically generates and displays 9 standard fetal echocardiographic views in normal hearts by applying intelligent navigation technology to spatiotemporal image correlation (STIC) volume data sets. The main objective was to determine the sensitivity and specificity of FINE in the prenatal detection of congenital heart disease (CHD).

METHODS

A case-control study was conducted in 50 fetuses with a broad spectrum of CHD (cases) and 100 fetuses with normal hearts (controls) in the second and third trimesters. Using 4-dimensional ultrasound with STIC technology, volume data sets were acquired. After all identifying information was removed, the data sets were randomly distributed to a different investigator for analysis using FINE. The sensitivity and specificity for the prenatal detection of CHD, as well as positive and negative likelihood ratios were determined.

RESULTS

The diagnostic performance of FINE for the prenatal detection of CHD was: sensitivity of 98% (49 of 50), specificity of 93% (93 of 100), positive likelihood ratio of 14, and negative likelihood ratio of 0.02. Among cases with confirmed CHD, the diagnosis with use of FINE completely matched the final diagnosis in 74% (37 of 50); minor discrepancies were seen in 12% (6 of 50), and major discrepancies were seen in 14% (7 of 50).

CONCLUSIONS

This is the first time the sensitivity and specificity of the FINE method in fetuses with normal hearts and CHD in the second and third trimesters has been reported. Because FINE identifies a broad spectrum of CHD with 98% sensitivity, this method could be used prenatally to screen for and diagnose CHD.

Advancing Prenatal Detection of Congenital Heart Disease: A Novel Screening Protocol Improves Early Diagnosis of Complex Congenital Heart Disease

OBJECTIVES

Prenatal diagnosis of complex congenital heart disease (CHD) during routine obstetric ultrasound (US) examinations improves postnatal outcomes, but sensitivity is low (<40%). Our objective was to improve our prenatal detection of complex CHD with implementation of a specific screening protocol.

METHODS

From January 2003 to December 2013, 506 consecutive confirmed cases of complex CHD in the province of Manitoba, Canada, were analyzed to compare the sensitivity and positive predictive value of prenatal US detection of complex CHD before and after the introduction of a novel prenatal screening protocol. The intervention was done in October 2004, emphasizing screening and not diagnosis of complex CHD. It involved education, practical scanning tips, a checklist, and feedback on cases. We also assessed the effect of the intervention in different screening settings: community hospitals, tertiary hospitals, and fetal assessment units.

RESULTS

The sensitivity for detecting complex CHD increased from 29.8% to 88.3% (P < .0001), while the positive predictive value remained high. The largest improvement in detection was found for US units in community hospitals (52.4% higher; P < .0001), followed by tertiary hospitals (39.9%; P = .0004), and fetal assessment units (7.2%; P = .16). Additionally, there was a significant decrease in the presentation of neonates in critical condition from before to after the implementation (24.3% to 13.1%, respectively; P = .0165).

CONCLUSIONS

Implementing a focused routine prenatal screening protocol can vastly improve detection rates of critical cardiac abnormalities. The improvement in community hospitals was particularly important because early detection ensured that the birth was planned to take place in an appropriate facility. Our novel protocol can be performed by all sonographers, regardless of experience, equipment used, and hospital setting.

Quality measures in high-risk pregnancies: Executive Summary of a Cooperative Workshop of the Society for Maternal-Fetal Medicine, National Institute of Child Health and Human Development, and the American College of Obstetricians and Gynecologists

Providers perceive current obstetric quality measures as imperfect and insufficient. Our organizations convened a "Quality Measures in High-Risk Pregnancies Workshop." The goals were to (1) review the current landscape regarding quality measures in obstetric conditions with increased risk for adverse maternal or fetal outcomes, (2) evaluate the available evidence for management of common obstetric conditions to identify those that may drive the highest impact on outcomes, quality, and value, (3) propose measures for high-risk obstetric conditions that reflect enhanced quality and efficiency, and (4) identify current research gaps, improve methods of data collection, and recommend means of change.

Variation in Prenatal Diagnosis of Congenital Heart Disease in Infants

BACKGROUND AND OBJECTIVE

Prenatal diagnosis allows improved perioperative outcomes for fetuses with certain forms of congenital heart disease (CHD). Variability in prenatal diagnosis has been demonstrated in other countries, leading to efforts to improve fetal imaging protocols and access to care, but has not been examined across the United States. The objective was to evaluate national variation in prenatal detection across geographic region and defect type in neonates and infants with CHD undergoing heart surgery.

METHODS

Cardiovascular operations performed in patients ≤6 months of age in the United States and included in the Society of Thoracic Surgeons Congenital Heart Surgery Database (2006-2012) were eligible for inclusion. Centers with >15% missing prenatal diagnosis data were excluded from the study. Prenatal diagnosis rates were compared across geographic location of residence and defect type using the χ(2) test.

RESULTS

Overall, the study included 31,374 patients from 91 Society of Thoracic Surgeons Congenital Heart Surgery Database participating centers across the United States. Prenatal detection occurred in 34% and increased every year, from 26% (2006) to 42% (2012). There was significant geographic variation in rates of prenatal diagnosis across states (range 11.8%-53.4%, P < .0001). Significant variability by defect type was also observed, with higher rates for lesions identifiable on 4-chamber view than for those requiring outflow tract visualization (57% vs 32%, P < .0001).

CONCLUSIONS

Rates of prenatal CHD detection in the United States remain low for patients undergoing surgical intervention, with significant variability between states and across defect type. Additional studies are needed to identify reasons for this variation and the potential impact on patient outcomes.

Screening for congenital heart disease during anatomical survey ultrasonography

Congenital heart disease (CHD) is among the most common congenital abnormalities. The prevalence of CHD ranges between 0.6% and 1.2% of live births. Despite its high prevalence, CHD is also among the most commonly missed abnormalities during prenatal ultrasound examination. A simple yet systematic approach to fetal heart examination, regular feedback, and implementation of training programs could improve detection rates and, in turn, neonatal outcome.

Moving towards universal prenatal detection of critical congenital heart disease in southern Nevada: a community-wide program

This study compares the current, prenatal detection rate for critical congenital heart disease in Southern Nevada with the previously reported rate, after developing and expanding a comprehensive, community-wide fetal cardiology program. For the current-period analysis, we inquired our database and electronic health records for patients born in Clark County, Nevada, with critical congenital heart disease between May 2012 and April 2014, and we compared the results with the previous period between May 2003 and April 2006. The major components of the community-wide program include fetal congenital heart disease screening via general obstetric ultrasound studies performed in obstetrician's offices, radiology imaging centers, or maternal-fetal medicine specialty practices; subsequent referral for comprehensive fetal echocardiography performed in maternal-fetal medicine offices under the on-site supervision by fetal cardiologists; and recurring community educational programs teaching the 5-axial plane, fetal echocardiographic screening protocol to general obstetric sonographers and instructing perinatal sonographers in advanced imaging topics. For the current period, the prenatal detection rate for critical congenital heart disease in Southern Nevada was 71 versus 36% for the previous period (p < 0.001). The temporal improvement in prenatal detection of critical congenital heart disease may be related to our expanded decentralized, community-wide fetal cardiology program, and our experiences may be applicable to other metropolitan areas.

Diagnosis of congenital heart disease in an era of universal prenatal ultrasound screening in southwest Ohio

OBJECTIVES

Diagnostic ultrasound is widespread in obstetric practice, yet many babies with major congenital heart disease remain undiagnosed. Factors affecting prenatal diagnosis of major congenital heart disease are not well understood. This study aims to document prenatal detection rates for major congenital heart disease in the Greater Cincinnati area, and identify factors associated with lack of prenatal diagnosis.

METHODS

All living infants diagnosed with major congenital heart disease by 4 months of age at our centre were prospectively identified. Prenatal care data were obtained by parent interview. Neonatal records were reviewed for postnatal data. Obstetricians were contacted for diagnostic ultrasound data.

RESULTS

A total of 100 infants met the inclusion criteria. In all, 95 infants were analysed, of whom 94 were offered diagnostic ultrasound. In all, 41 had a prenatal diagnosis of major congenital heart disease. The rate of prenatal detection varied by cardiac lesion, with aortic arch abnormalities, semilunar valve abnormalities, and venous anomalies going undetected in this sample. Among subjects without prenatal detection, the highest proportion consisted of those having Level 1 diagnostic ultrasound only (66%). Prenatal detection was not significantly influenced by maternal race, education level, income, or insurance type.

CONCLUSIONS

Despite nearly universal diagnostic ultrasound, detection rates of major congenital heart disease remain low in southwest Ohio. An educational outreach programme including outflow tract sweeps for community-level obstetrical personnel may improve detection rates.

Society for maternal-fetal medicine (SMFM) special report: the maternal-fetal medicine subspecialists' role within a health care system

A maternal-fetal medicine (MFM) subspecialist has advanced knowledge of the medical, surgical, obstetrical, fetal, and genetic complications of pregnancy and their effects on both the mother and fetus. MFM subspecialists are complementary to obstetric care providers in providing consultations, co-management, or transfer of care for complicated patients before, during, and after pregnancy. The MFM subspecialist provides peer and patient education and performs research concerning the most recent approaches and treatments for obstetrical problems, thus promoting risk-appropriate care for these complicated pregnancies. The relationship between the obstetric care provider and the MFM subspecialist depends on the acuity of the maternal and/or fetal condition and the local resources. To achieve the goal of promoting early access and sustained adequate prenatal care for all pregnant women, we encourage collaboration with obstetricians, family physicians, certified midwives, and others, and we also encourage providing preconception, prenatal, and postpartum care counseling and coordination. Effective communication between all obstetric care team members is imperative. This special report was written with the intent that it would be broad in scope and appeal to a diverse readership, including administrators, allowing it to be applied to various systems of care both horizontally and vertically. We understand that these relationships are often complex and there are more models of care than could be addressed in this document. However, we aimed to promote the development of a highly effective team approach to the care of the high-risk pregnancy that will be useful in the most common models for obstetric care in the United States. The MFM subspecialist functions most effectively within a fully integrated and collaborative health care environment. This document defines the various roles that the MFM subspecialist can fulfill within different heath care systems through consultation, co-management, and transfer of care, as well as education, research, and leadership.

Cost-effectiveness of prenatal screening strategies for congenital heart disease

OBJECTIVE

The economic implications of strategies to improve prenatal screening for congenital heart disease (CHD) in low-risk mothers have not been explored. The aim was to perform a cost-effectiveness analysis of different screening methods.

METHODS

We constructed a decision analytic model of CHD prenatal screening strategies (four-chamber screen (4C), 4C + outflow, nuchal translucency (NT) or fetal echocardiography) populated with probabilities from the literature. The model included whether initial screens were interpreted by a maternal-fetal medicine (MFM) specialist and different referral strategies if they were read by a non-MFM specialist. The primary outcome was the incremental cost per defect detected. Costs were obtained from Medicare National Fee estimates. A probabilistic sensitivity analysis was undertaken on model variables commensurate with their degree of uncertainty.

RESULTS

In base-case analysis, 4C + outflow referred to an MFM specialist was the least costly strategy per defect detected. The 4C screen and the NT screen were dominated by other strategies (i.e. were more costly and less effective). Fetal echocardiography was the most effective, but most costly. On simulation of 10 000 low-risk pregnancies, 4C + outflow screen referred to an MFM specialist remained the least costly per defect detected. For an additional $580 per defect detected, referral to cardiology after a 4C + outflow was the most cost-effective for the majority of iterations, increasing CHD detection by 13 percentage points.

CONCLUSIONS

The addition of examination of the outflow tracts to second-trimester ultrasound increases detection of CHD in the most cost-effective manner. Strategies to improve outflow-tract imaging and to refer with the most efficiency may be the best way to improve detection at a population level.

Timing of ultrasound in pregnancy--how often? At what intervals?

The second trimester fetal anatomic survey has continued to evolve over the past 27 years. This review will summarize the changes in the anatomic survey that have occurred and provide recommendations that serve to improve compliance with the components of the survey. In order to provide clarity and direction, the goals and limitations of the second trimester fetal anatomic survey should be defined. The visualization rate of specific fetal anatomic structures can be increased by specifying acceptable, alternative views. A single follow-up examination within 2-4 weeks of a fetal anatomic survey or before 22 weeks' gestation should be offered when specific components of the fetal anatomic survey cannot be visualized. The fetal anomalies that the anatomic survey seeks to identify should be defined along with an acceptable detection rate.

Ultrasound in twins: dichorionic and monochorionic

The objective of this review is to assess the evidence that supports the use of ultrasound in twin pregnancies. Although many of the indications for obstetric ultrasound are the same in both singleton and multiple gestations, there are special considerations as well as unique conditions in twins that require additional imaging studies. The reasons for ultrasound in twins include pregnancy dating, determination of chorionicity, nuchal translucency assessment, anatomical survey, placental evaluation, cervical length assessment, routine fetal growth, and serial surveillance of pregnancies complicated by anomalies, cervical shortening, fetal growth disturbances, and amniotic fluid abnormalities. Twins with monochorionic placentation require heightened scrutiny for monoamnionicity, conjoined twins, twin reversed arterial perfusion (TRAP) syndrome, twin-twin transfusion syndrome, unequal placental sharing with discordant twin growth or selective intrauterine fetal growth restriction (IUGR), twin anemia-polycythemia sequence (TAPS), and single fetal demise. Ultrasound is essential for the detection and management of conditions that can complicate dichorionic and monochorionic twin pregnancies.

Fetal Intelligent Navigation Echocardiography (FINE): a novel method for rapid, simple, and automatic examination of the fetal heart

OBJECTIVE

To describe a novel method (Fetal Intelligent Navigation Echocardiography (FINE)) for visualization of standard fetal echocardiography views from volume datasets obtained with spatiotemporal image correlation (STIC) and application of 'intelligent navigation' technology.

METHODS

We developed a method to: 1) demonstrate nine cardiac diagnostic planes; and 2) spontaneously navigate the anatomy surrounding each of the nine cardiac diagnostic planes (Virtual Intelligent Sonographer Assistance (VIS-Assistance®)). The method consists of marking seven anatomical structures of the fetal heart. The following echocardiography views are then automatically generated: 1) four chamber; 2) five chamber; 3) left ventricular outflow tract; 4) short-axis view of great vessels/right ventricular outflow tract; 5) three vessels and trachea; 6) abdomen/stomach; 7) ductal arch; 8) aortic arch; and 9) superior and inferior vena cava. The FINE method was tested in a separate set of 50 STIC volumes of normal hearts (18.6-37.2 weeks of gestation), and visualization rates for fetal echocardiography views using diagnostic planes and/or VIS-Assistance® were calculated. To examine the feasibility of identifying abnormal cardiac anatomy, we tested the method in four cases with proven congenital heart defects (coarctation of aorta, tetralogy of Fallot, transposition of great vessels and pulmonary atresia with intact ventricular septum).

RESULTS

In normal cases, the FINE method was able to generate nine fetal echocardiography views using: 1) diagnostic planes in 78-100% of cases; 2) VIS-Assistance® in 98-100% of cases; and 3) a combination of diagnostic planes and/or VIS-Assistance® in 98-100% of cases. In all four abnormal cases, the FINE method demonstrated evidence of abnormal fetal cardiac anatomy.

CONCLUSIONS

The FINE method can be used to visualize nine standard fetal echocardiography views in normal hearts by applying 'intelligent navigation' technology to STIC volume datasets. This method can simplify examination of the fetal heart and reduce operator dependency. The observation of abnormal echocardiography views in the diagnostic planes and/or VIS-Assistance® should raise the index of suspicion for congenital heart disease.

Barriers to prenatal detection of congenital heart disease: a population-based study

OBJECTIVE

To evaluate the extent and determinants of missed prenatal detection of congenital heart disease (CHD) in a population-based setting.

METHODS

This was a retrospective cohort study of cases with CHD, excluding minor defects, identified between 1997 and 2007 by a statewide surveillance program. We examined a comprehensive list of potential risk factors for which data were available in the surveillance database from abstracted medical charts. We analyzed the association of fetal, maternal and encounter factors with 1) whether a prenatal ultrasound was performed and 2) prenatal detection of CHD.

RESULTS

CHD was detected prenatally in only 39% of 1474 cases, with no improvement in detection rate over the 10-year period. Among the 97% (n = 1431) of mothers who underwent one or more ultrasound examinations, 35% were interpreted as abnormal; fetal echocardiography was performed in 27% of the entire cohort. Maternal and encounter factors increasing the adjusted odds of prenatal detection included: family history of CHD (OR, 4.3 (95% CI, 1.9-9.9)), presence of extracardiac defects (OR, 2.7 (95% CI, 1.9-3.9)) and ultrasound location i.e. high risk clinic vs clinic (OR, 2.1 (95% CI, 1.3-3.1)). Defects that would be expected to have an abnormal outflow-tract view were missed more often (64%) than were those that would be expected to have an abnormal four-chamber view (42%).

CONCLUSION

The majority of CHD cases over the 10-year study period were missed prenatally and detection rates did not increase materially during that time. The failure to detect CHD prenatally was related to encounter characteristics, specifically involving screening ultrasound examinations, which may be targeted for improvement.

Successful immediate newborn ross-konno and mitral valve repair following fetal aortic valvuloplasty

Perinatal management of severe mitral regurgitation (MR) and aortic stenosis (AS) is difficult; mortality is high, and there are few reports of successful postnatal biventricular repairs. We report a patient with severe MR and AS, diagnosed prenatally, that underwent a fetal aortic valvuloplasty and a successful modified Ross-Konno procedure with concomitant mitral valve repair shortly after birth.

Congenital cardiac anomalies: prenatal readings versus neonatal outcomes

OBJECTIVE

The purpose of this study was to determine the variation between prenatal and postnatal diagnosis of congenital cardiac lesions diagnosed by both fetal center primary physicians and fetal pediatric cardiologists at a single tertiary referral center in the United States and evaluate why cases were misdiagnosed.

METHODS

A retrospective review of all cardiac abnormalities identified prenatally by level II sonography at a tertiary referral fetal center between January 2006 and December 2008 was performed to include any patient with a fetal cardiac abnormality and with a documented autopsy or neonatal follow-up. Congenital heart disease diagnoses were classified as correct, incorrect, or incorrect but within the same spectrum of disease. Cases of correct diagnosis by primary physicians and pediatric cardiologists were compared.

RESULTS

Sixty patients with fetal heart abnormalities were identified among 8894 patients who had level II sonography. The combined detection rate for fetal heart abnormalities for both primary physicians and pediatric cardiologists together was 81.7%. The detection rates of congenital heart disease were not statistically different between primary physicians and pediatric cardiologists: 77.9% (46 of 59) versus 85.0% (34 of 40; P = .3). The most common cardiac abnormalities misdiagnosed in our study population included pulmonic stenosis, ventricular septal defect, myxoma, truncus arteriosus, and coarctation of the aorta.

CONCLUSIONS

Congenital heart disease is misdiagnosed in tertiary care centers by both pediatric cardiologists and fetal imaging specialists. We believe that this occurrence is related to multiple factors, including evolution of congenital heart disease, maternal body habitus, associated congenital anomalies, decreased amniotic fluid volume, gestational age at evaluation, imaging techniques, and, most importantly, the experience of the sonographer.